The real Jira Data Center cost. Why migrating to Cloud makes more sense than you think?

Running your own Data Center might feel familiar, but have you stopped to think about the hidden costs it carries?

Air France-KLM did, and when they switched gears to Atlassian Cloud Premium, the payoff was sky-high: over $600,000 in annual savings and thousands of hours reclaimed daily. 

And they’re not the only ones.

Savings vary by organization size and complexity, so it’s crucial to assess your potential benefits individually. But the reality is: sticking with familiar infrastructure might feel safer, yet every day spent on-prem adds operational overhead and risks missing out on innovation.

In this article, we’ll try to help you figure out how much staying on Data Center costs you, and whether you could save if you migrated to the cloud today.

According to Gartner, by the end of 2025, 80% of enterprises will migrate entirely away from on-premise setups to the cloud. What’s more, Atlassian’s long-term strategy is clearly Cloud-first, with Data Center feature updates significantly slowing. 

Remember when Atlassian Server reached its end-of-life in February 2024? Users who waited until the last minute faced serious bottlenecks and high migration costs due to limited support availability. 

This is the first hidden cost of DC that results from waiting too long. 

Here’s another tough truth: maintaining a Data Center often involves higher costs than Cloud, especially with recent price hikes. What’s more, unpredictable operational expenses for hardware refreshes, downtime, and hidden maintenance costs make budgeting tricky.

While a well-managed Data Center can still offer effective workflows, maintaining its infrastructure requires ongoing investment in servers, network, and admin resources.

This may lead to higher operational overhead. Beyond visible maintenance fees, Data Center racks up hidden expenses like hardware refreshes, cooling, server licenses, dedicated staff hours, unplanned downtime, and disaster recovery management. These costs quickly add up.

Contrast this with Atlassian Cloud advantages:

As you can see, Data Center can become more difficult to sustain every day. We can calculate what it looks like in a real-life use case. 

​A typical company using Jira Data Center operates between 1 to 5 instances, each supporting 1,000 to 10,000 users, depending on organizational size and structure. 

Here’s the difference when you compare on-prem to Cloud Premium with 3 instances each supporting 1000 users: 

Can you see the difference? Now, let’s talk apps. 

Atlassian Marketplace vendors are dialing back from building new apps for Data Center. 

Cloud’s the place to be. So, if you’re on Cloud, you’ve got a front-row seat to all the latest innovations. Vendors are rolling out features faster, keeping up with Atlassian’s push toward Cloud-first solutions.

Meanwhile, Data Center is taking a back seat. Sure, existing DC apps will stick around, but don’t expect a flood of fresh choices or regular updates. If you’re still on DC, you’ll notice the options feel thinner compared to the Cloud ecosystem.You need a real-life example? Fath company struggled to maintain Data Center-compatible plugins before migrating to Cloud, where more integrations were available. They reached 99,9% system availability and moreover, reduced operating costs for personnel, maintenance, and downtime by around 20%.

Around 80% of enterprises are running CRM, HR, collaboration, and finance apps in the cloud.

Salesforce? Microsoft 365? Slack? Zoom? All cloud-native. All trusted every day for the business-critical stuff. Of course, Data Center environments can also integrate these tools. However, it often requires additional configuration or third-party solutions.

The point is that IT and business leaders have already made the call: Cloud works. It’s secure. It’s scalable. It keeps teams moving fast without drowning in maintenance headaches.

Bringing Jira, Confluence, and the rest into the cloud just makes sense. It’s not just about shiny new features. Cloud removes friction by cutting down IT overhead, tightening up integrations, and giving your teams tools that work together. 

Let’s be honest, clinging to old systems might feel comfy, but it’s holding teams back. The Cloud is where all the real innovation is happening. 

If you’re still on Data Center, your team’s probably working harder than they need to. Switching to Cloud lets AI handle the dull stuff, giving your team more time for the work that pushes the company towards its goals. 

Sticking with Data Center means your support team has to do things the hard way. Issues are classified manually. Agents end up handling the same repetitive tickets. While automation is possible, it requires significant manual setup. It means your team spends valuable time configuring processes instead of focusing on users.

Now flip that to Atlassian Cloud, and it’s a whole different story. AI jumps in to auto-classify issues, recommend solutions, and route tickets to the right team. It spots duplicates, connects the dots, and even pulls up the most relevant knowledge base articles to help users get answers faster. Less noise, more action, and way happier support teams.

How does Atlassian Intelligence give organizations their time back? 

These can be your savings. For example, Thumbtack resolves 15% of requests with no human involvement, thanks to automations and smarter processes.

Angela Streeter
Systems Engineer
Thumbtack

Running workflows in Data Center? It’s a hands-on experience. Setting things up takes time, and keeping them running means you’re probably leaning on third-party plugins or hacking together custom scripts. There are no built-in features to help you from the start. You’re doing all the heavy lifting.

Now let’s talk Atlassian Cloud. AI handles the grunt work with no-code automation. It spots bottlenecks, gives you tips on how to fix them, and keeps things moving with automatic approvals, escalations, and ticket assignments. Less clicking, more meaningful work.

AI automates routine tasks and frees you up to focus on what’s important. 

Sony Music Publishing reduced 40% of the workload after implementing Cloud automation.

Jeff Pittman
Director of IT Operations
Sony Music Publishing

With Data Center, reporting may feel like a chore. Teams often rely on external BI tools like Tableau or Power BI for insights. And if something’s about to go sideways? There’s no AI to warn you. It’s all just too easy to miss until it’s too late.

In Atlassian Cloud, reporting actually works FOR you. Real-time dashboards give you a clear view of project health without the usual spreadsheet scramble. Progress tracking is automated, so no more chasing updates. 

And thanks to predictive analytics, you get a heads-up on delays and risks before they become real problems. 

If you’re on Data Center, staying in the loop is way more work than it should be. There’s no real-time summarizing, so someone’s always stuck writing up meeting notes or chasing down Confluence updates. Sharing info with stakeholders? Manual. And good luck getting seamless updates through Slack or Teams. It’s just not built in.

If you’re using Atlassian Cloud, AI auto-summarizes your Confluence pages and Jira tickets, so everyone gets the TL;DR without digging. Smart notifications and alerts keep your team in sync, and AI-generated meeting notes mean no more “who’s got the action items?” confusion. Everything just clicks.

With Atlassian Intelligence, catching up after days off is easy.

With Data Center, devs deal with extra manual steps. Linking Jira issues to Bitbucket takes more clicks. Reviews happen without AI help. Automation is possible, but setting it up takes effort. Bottom line: more work, less speed.

Move over to Atlassian Cloud, and things get way more efficient. Jira and Bitbucket play nicely out of the box. Issues link automatically, so you’re not chasing connections. AI pitches in during code reviews with smart suggestions, helping your team move faster without losing quality. 

And with predictive DevOps analytics, you can spot deployment risks before they mess things up. It’s a cleaner, faster way to build.

Here’s how it works: 

Atlassian Intelligence in  Bitbucket helps users:

Just like with everything else on DC, IT support is stuck in manual mode. Teams can automate tasks, but only via third-party tools. Otherwise, they have to prioritize incidents by hand, chase down root causes without any AI help, and step in for almost every service request. It’s a lot of work..

In the Cloud, Atlassian Intelligence steps up. It auto-classifies incidents using real-world data. Root cause analysis gets smarter too: AI spots patterns and helps prevent the same problems. Plus, with automated support handling routine requests, your team gets time back to focus on what matters.

Most common incident management use cases on Cloud:

With Data Center, leaders often rely on manual, slower reporting. Teams spend extra time spotting risks, and trend-based insights usually mean extra digging. It’s less proactive and can hold you back. 

In Atlassian Cloud, AI serves up smart recommendations so decisions are grounded in real data. Risk mitigation isn’t an afterthought either, as AI flags issues early and suggests what to do next. Plus, predictive analytics keep you ahead of project delays and budget surprises. Although sophisticated Data Center setups can achieve similar results with external analytics tools, Cloud delivers the same insights quicker. AI-guided decision making and risk prevention

Younger professionals grew up with apps that are fast, easy, and mobile-friendly. They expect the same from their workplace tools. 

Data Center creates friction with VPNs, manual logins, and poor mobile access, making it frustrating for remote and hybrid workers.

In contrast, Atlassian Cloud delivers a modern, intuitive experience with no VPNs needed. Teams can jump into Jira or Confluence from any device, anywhere, and tap into a wide range of integrations with tools like Slack, Microsoft Teams, and Google Drive. The result? A connected work experience that today’s talent expects by default.

Conclusion? Younger professionals tend to favor modern, cloud-based tools due to ease of access and familiarity.

While tool choice isn’t the sole factor in talent retention, providing cloud-native experiences can certainly strengthen employer attractiveness.

High-performing employees aren’t interested in working around legacy issues. This is why Atlassian Cloud can be more attractive to them. It brings AI-powered automation that frees people up to focus on meaningful work. Built-in integrations and optimized workflows deliver faster results, helping teams get more done without the tech headaches. 

A modern workplace drives personal growth, keeping your best people motivated, satisfied, and more likely to stay. Migrating to Cloud means your best people spend less time on frustrations and more time doing what they love.

So what’s the real hidden cost of Jira Data Center? It’s the invisible hours your team loses every day in upkeep and admin tasks. Hours that could be spent making your business better.

Think about your admin’s time:

Every manual config tweak eats into productivity. And your IT team should be innovating, not babysitting servers.

Switching to Atlassian Cloud is mainly about getting your team’s time back. Less administration means more room for growth, creativity, and solving real challenges.

Whatever you choose, this is the most important: take action now. Evaluate your needs carefully. If you decide on migration, starting the process early means avoiding last-minute stress and unexpected costs. 

Of course, the right move depends on your organization’s requirements, from security standards to how quickly you want to innovate. Move strategically.

Make the choice that sets your organization up for lasting success.